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IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
An Efficient Relay Placement Method with Power Allocation for MIMO Two-Way Multi-Hop Networks
Gia Khanh TRANRindranirina RAMAMONJISONKei SAKAGUCHIKiyomichi ARAKI
Author information
  • Gia Khanh TRAN

    Tokyo Institute of Technology

  • Rindranirina RAMAMONJISON

    Tokyo Institute of Technology

  • Kei SAKAGUCHI

    Tokyo Institute of Technology

  • Kiyomichi ARAKI

    Tokyo Institute of Technology

Corresponding author

ORCID
Keywords:multi-hop,two-way relay,node placement,power allocation,geometric programming,convex optimization,MIMO,interference cancellation,SINR balancing,QoS constrained optimization
JOURNALRESTRICTED ACCESS

2013 Volume E96.BIssue 5Pages 1176-1186

DOIhttps://doi.org/10.1587/transcom.E96.B.1176
Details
  • Published: May 01, 2013Manuscript Received: August 22, 2012Released on J-STAGE: May 01, 2013Accepted: -Advance online publication: -Manuscript Revised: December 25, 2012
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Abstract
MIMO two-way multi-hop networks are considered in which the radio resource is fully reused in all multi-hop links to increase spectrum efficiency while the adjacent interference signals are cancelled by MIMO processing. In addition, the nodes in the multi-hop network optimize their transmit powers to mitigate the remaining overreach interference. Our main contribution in this paper is to investigate an efficient relay placement method with power allocation in such networks. We present two formulations, namelyQoS-constrained optimization andSINR balancing, and solve them using a sequential geometric programming method. The proposed algorithm takes advantage of convex optimization to find an efficient configuration. Simulation results show that relay placement has an important impact on the effectiveness of power allocation to mitigate the interference. Particularly, we found that an uniform relay location is optimal only in power-limited scenarios. With optimal relay locations, significant end-to-end rate gain and power consumption reduction are achieved by SINR balancing and QoS-constrained optimization, respectively. Furthermore, the optimal number of hops is investigated in power or interference-limited scenarios.
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© 2013 The Institute of Electronics, Information and Communication Engineers
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